| Autor: |
K. Vos, K. D. Splinter, J. Palomar-Vázquez, J. E. Pardo-Pascual, J. Almonacid-Caballer, C. Cabezas-Rabadán, E. C. Kras, A. P. Luijendijk, F. Calkoen, L. P. Almeida, D. Pais, A. H. F. Klein, Y. Mao, D. Harris, B. Castelle, D. Buscombe, S. Vitousek |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-17 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2662-4435 |
| DOI: |
10.1038/s43247-023-01001-2 |
| Popis: |
Abstract Satellite remote sensing is becoming a widely used monitoring technique in coastal sciences. Yet, no benchmarking studies exist that compare the performance of popular satellite-derived shoreline mapping algorithms against standardized sets of inputs and validation data. Here we present a new benchmarking framework to evaluate the accuracy of shoreline change observations extracted from publicly available satellite imagery (Landsat and Sentinel-2). Accuracy and precision of five established shoreline mapping algorithms are evaluated at four sandy beaches with varying geologic and oceanographic conditions. Comparisons against long-term in situ beach surveys reveal that all algorithms provide horizontal accuracy on the order of 10 m at microtidal sites. However, accuracy deteriorates as the tidal range increases, to more than 20 m for a high-energy macrotidal beach (Truc Vert, France) with complex foreshore morphology. The goal of this open-source, collaborative benchmarking framework is to identify areas of improvement for present algorithms, while providing a stepping stone for testing future developments, and ensuring reproducibility of methods across various research groups and applications. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Full text from SpringerLink